Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis) by Omid Ashkriz, Babak Mirbagheri, Ali Akbar Matkan, Alireza Shakiba

Subjects: “…urban growth simulation…”
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Simulation and Spatio-Temporal Analysis of Soil Erosion in the Source Region of the Yellow River Using Machine Learning Method by Jinxi Su, Rong Tang, Huilong Lin

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Machine Learning Modelling for Soil Moisture Retrieval from Simulated NASA-ISRO SAR (NISAR) L-Band Data by Dev Dinesh, Shashi Kumar, Sameer Saran

“…Three polarimetric decomposition models were used to extract features from simulated NASA-ISRO SAR (NISAR) L-Band radar images. …”
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Time-series forest age estimation in Xinjiang based on forest disturbance and recovery detection by Lili Zhai, Mei Zan, Mao Ye, Jia Zhou, Cong Xue, Shunfa Yang, Yuntong Liu

“…The findings revealed that: (1) the R2 values of the RF regression models for estimating forest age exceeded 0.65, with RMSEs below 22 years and RRMSEs ranging from 0.119 to 0.183, demonstrating high credibility of the simulation results; (2) the overall accuracy of the LandTrendr algorithm in identifying forest loss and gain in the study area was 85 % or higher. …”
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ForestSim Model of Impacts of Smallholder Dynamics: Forested Landscapes of the Upper Peninsula of Michigan by Audrey L. Mayer, Mark D. Rouleau

“…Many forested landscapes in the United States contain a large number of small private landowners (smallholders). …”
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ForestSemantic: a dataset for semantic learning of forest from close-range sensing by Xinlian Liang, Hanwen Qi, Xuejie Deng, Jianchang Chen, Shangshu Cai, Qingjun Zhang, Yunsheng Wang, Antero Kukko, Juha Hyyppä

“…Information about trees in forest is essential for the assessment of the quantity and the quality of forest ecosystem services. …”
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The Syringe Pump Gas Distribution (SPGD) system: a simple and low-cost method for simulating NH3/15NH3 deposition by Chunze Wu, Chunze Wu, Xing Wei, Xing Wei, Chenghang Zhang, Chenghang Zhang, Saima Khan, Saima Khan

“…The SPGD system is modular (gas supply unit and NH3 supply unit) and can be adapted to different research needs, including for simulating the deposition of NO2, SO2 or mixtures. Adopting this system, researchers can safely and efficiently simulate NH3 deposition or perform 15NH3 labeling, thereby advancing the understanding of physiological and ecological processes associated with plants and even forest ecosystems under gaseous deposition.…”
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Simulating Net Ecosystem Productivity (NEP) in Mediterranean Pine Forests (<i>Pinus brutia</i>) During the 21st Century: The Effect of Leaf Area Index and Elevation by Christodoulos I. Sazeides, Nikolaos M. Fyllas

“…The Gross Primary Productivity (GPP) of Mediterranean forest is expected to change over the 21st century due to the warmer and drier conditions. …”
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Application Of The Denitrification-Decomposition (DNDC) Model To Retrospective Analysis Of The Carbon Cycle Components In Agrolandscapes Of The Central Forest Zone Of European Russ... by Olga E. Sukhoveeva, Dmitry V. Karelin

“…The retrospective  dynamics  of major components  of the carbon cycle under land use changes in the Central Forest zone of European Russia was investigated. This area is known as one of the most important agricultural and economical regions of the country. …”
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Using machine learning to forecast conflict events for use in forced migration models by Yani Xue, Thomas Schincariol, Thomas Chadefaux, Derek Groen

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Calculation Methodology and Results of Optimization of Design Parameters of the Tractor Recuperative Mounted System When Aggregated with Forest Tillage Implements by Valeryi I. Posmetyev, Maksim A. Savinkov, Viktor V. Posmetyev, Andrey Yu. Manukovskii, Vadim O. Nikonov

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Significant increase in ecosystem C can be achieved with sustainable forest management in subtropical plantation forests. by Xiaohua Wei, Juan A Blanco

“…Subtropical planted forests are rapidly expanding. They are traditionally managed for intensive, short-term goals that often lead to long-term yield decline and reduced carbon sequestration capacity. …”
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Predictive Modeling and Simulation of CO₂ Trapping Mechanisms: Insights into Efficiency and Long-Term Sequestration Strategies by Oluchi Ejehu, Rouzbeh Moghanloo, Samuel Nashed

“…This study presents a comprehensive analysis of CO₂ trapping mechanisms in subsurface reservoirs by integrating numerical reservoir simulations, geochemical modeling, and machine learning techniques to enhance the design and evaluation of carbon capture and storage (CCS) strategies. …”
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Simulating Future Land Use/Land Cover of Tigris River Basin Assuming the Continuation of the Conditions During 2018 and 2023. by Abolfazl Ghanbari, Ayat Khaleel-Gharibawi, Hala Abdulkareem-Rubaiee, Mehrdad Jeihouni

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Machine learning based QSAR and Molecular Dynamics simulations in the structural design and mechanism of action of imidazole derivatives with anti-melanoma activity by Rosalvo Ferreira de Oliveira Neto, Sérgio Ruschi Bergamachi Silva, Cintia Emi Yanaguibashi Leal, Edilson Beserra de Alencar Filho

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Constraining Reionization with Lyα Damping-wing Absorption in Galaxy Spectra: A Machine Learning Model Based on Reionization Simulations by Hyunbae Park, Intae Jung, Hidenobu Yajima, Jenny G. Sorce, Paul R. Shapiro, Kyungjin Ahn, Pierre Ocvirk, Romain Teyssier, Gustavo Yepes, Ilian T. Iliev, Joseph S. W. Lewis

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Leveraging physics-informed neural networks for efficient modelling of coastal ecosystems dynamics: A case study of Sundarbans mangrove forest by Majdi Fanous, Jonathan M. Eden, Juntao Yang, Simon See, Vasile Palade, Alireza Daneshkhah

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Optimisation of forest management under climate change in the French maritime pine (Pinus pinaster Aiton) forests by Lucile Ansaldi, Clémence Labarre, David Makowski, Jean-Christophe Domec, Denis Loustau

“…Methods We used the mean-variance optimisation method to identify the optimal management portfolios for the Landes de Gascogne forest. The process-based model GO+ was used to simulate the forest annual production from 2006 to 2100 for four management alternatives under two climate change scenarios (RCP 4.5 and 8.5), two rainfall patterns and three levels of available soil water capacity. …”
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Ecological assessment of forest management approaches to develop resilient forests in the face of global change in Central Europe by Franka Huth, Alexander Tischer, Petia Nikolova, Heike Feldhaar, Alexandra Wehnert, Lisa Hülsmann, Jürgen Bauhus, Katrin Heer, Juliane Vogt, Christian Ammer, Uta Berger, Markus Bernhardt-Römermann, Manuela Böhme, Harald Bugmann, Jörn Buse, Laura Demant, Inken Dörfler, Jörg Ewald, Eike Feldmann, Andreas Fichtner, Martin M. Gossner, Thorsten E.E. Grams, Karl-Heinz Häberle, Jonas Hagge, Henrik Hartmann, Sven Herzog, Ansgar Kahmen, Ulrich Kohnle, Doris Krabel, Klara Krämer-Klement, Jürgen Kreyling, Michael Manthey, Karl Mellert, Peter Meyer, Andreas Mölder, Lena Muffler-Weigel, Bettina Ohse, Lars Opgenoorth, Boris Rewald, Andreas Rothe, Nadine Ruehr, Tobias Scharnweber, Michael Scherer-Lorenzen, Jonas Schmeddes, Joachim Schmerbeck, Markus Schmidt, Dominik Seidel, Frank M. Thomas, Malin Tiebel, Goddert von Oheimb, Sven Wagner, Robert Weigel, Martin Wilmking, Christian Zang, Bernhard Schuldt

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Assessing the combined effects of forest management and climate change on carbon and water fluxes in European beech forests by Vincenzo Saponaro, Miquel De Cáceres, Daniela Dalmonech, Ettore D'Andrea, Elia Vangi, Alessio Collalti

“…To ensure confidence in the models’ results, we preliminary evaluated their performance in simulating C and H2O flux in three additional beech forests of the FLUXNET network along a latitudinal gradient spanning from Denmark to central Italy. …”
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